From 0caef874b7fae784c12498caa34904c4448925b1 Mon Sep 17 00:00:00 2001 From: Jacob Zhou Date: Mon, 16 Dec 2024 15:15:13 +0800 Subject: [PATCH] Update README files to reflect recent achievements: added details about winning 1st place in the Kingsoft Office 2024 Algorithm Challenge. --- README.md | 3 ++- README.zh.md | 1 + 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index bde9aa0..f742608 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,8 @@ A simple yet effective training-free and prompt-free approach to Chinese Spellin This repository provides an implementation of the paper [A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models](https://arxiv.org/abs/2410.04027). __News__ -- 2024/09/20: Our paper is accepted by EMNLP 2024 main conference. +- 2024/12/09: We **won 1st place** in the [Kingsoft Office 2024 Algorithm Challenge: Chinese Text Correction Competition (金山办公2024算法挑战赛-中文文本智能校对大赛)](https://datastudio.wps.cn/matchcenter/competition/1/introduction), with this codebase serving as a key module of our solution. Notably, our solution achieved an $F_{0.5}$ score that was **2.02** points higher than the second-place team. +- 2024/09/20: Our paper is accepted by **EMNLP 2024 main** conference. ## Table of Contents diff --git a/README.zh.md b/README.zh.md index c91dbff..bf37d15 100644 --- a/README.zh.md +++ b/README.zh.md @@ -10,6 +10,7 @@ 本仓库提供了论文 [A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models](https://arxiv.org/abs/2410.04027) 的实现。 __新闻__ +- 2024/12/09: 我们荣获[金山办公2024算法挑战赛-中文文本智能校对大赛](https://datastudio.wps.cn/matchcenter/competition/1/introduction)冠军。在比赛中，我们以本代码库作为核心模块，取得了 83.37 的 $F_{0.5}$ 分数，比第二名高 2.02 分。 - 2024/09/20: 我们的论文被 EMNLP 2024 主会接收。 ## 目录